Guang Wu

2.1k total citations
31 papers, 1.6k citations indexed

About

Guang Wu is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Guang Wu has authored 31 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 23 papers in Plant Science and 4 papers in Cell Biology. Recurrent topics in Guang Wu's work include Plant Molecular Biology Research (21 papers), Plant Reproductive Biology (20 papers) and Plant Stress Responses and Tolerance (5 papers). Guang Wu is often cited by papers focused on Plant Molecular Biology Research (21 papers), Plant Reproductive Biology (20 papers) and Plant Stress Responses and Tolerance (5 papers). Guang Wu collaborates with scholars based in China, United States and France. Guang Wu's co-authors include Zhenbiao Yang, Ying Fu, Hai Li, Steven E. Clark, Amy E. Trotochaud, Tong Hao, Ying Gu, Shundai Li, Keith Davis and Doreen Ware and has published in prestigious journals such as Nature Communications, The Journal of Cell Biology and PLoS ONE.

In The Last Decade

Guang Wu

28 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Guang Wu China 14 1.3k 1.3k 195 102 36 31 1.6k
Kelly E. Stecker Netherlands 11 651 0.5× 723 0.6× 70 0.4× 32 0.3× 31 0.9× 15 955
Hong‐Ju Li China 21 1.1k 0.8× 1.2k 0.9× 100 0.5× 237 2.3× 34 0.9× 60 1.4k
Alexandre Huber Switzerland 9 1.2k 0.9× 190 0.1× 222 1.1× 35 0.3× 86 2.4× 11 1.3k
Maike Rentel United States 5 466 0.4× 765 0.6× 197 1.0× 20 0.2× 28 0.8× 8 1.1k
Yoko Otsubo Japan 14 653 0.5× 202 0.2× 90 0.5× 35 0.3× 17 0.5× 26 798
Andrzej Jerzmanowski Poland 22 1.4k 1.0× 1.4k 1.1× 30 0.2× 36 0.4× 17 0.5× 56 1.8k
You Zhou China 19 423 0.3× 581 0.4× 361 1.9× 25 0.2× 82 2.3× 49 999
Masayuki Higuchi Japan 12 1.6k 1.2× 2.0k 1.5× 18 0.1× 48 0.5× 105 2.9× 16 2.2k
Yuda Fang China 18 1.4k 1.0× 1.2k 1.0× 128 0.7× 12 0.1× 24 0.7× 29 1.7k
T. P. V. Hartman United Kingdom 9 535 0.4× 243 0.2× 143 0.7× 28 0.3× 32 0.9× 13 637

Countries citing papers authored by Guang Wu

Since Specialization
Citations

This map shows the geographic impact of Guang Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Guang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guang Wu more than expected).

Fields of papers citing papers by Guang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guang Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Guang Wu. The network helps show where Guang Wu may publish in the future.

Co-authorship network of co-authors of Guang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Guang Wu. A scholar is included among the top collaborators of Guang Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guang Wu. Guang Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chen, Jun, et al.. (2025). Sodium alginate microspheres loaded with Quercetin/Mg nanoparticles as novel drug delivery systems for osteoarthritis therapy. Journal of Orthopaedic Surgery and Research. 20(1). 300–300.
2.
3.
Wei, Qiang, et al.. (2024). Fixation of Expression Divergences by Natural Selection in Arabidopsis Coding Genes. International Journal of Molecular Sciences. 25(24). 13710–13710.
4.
Wu, Guang, Zhizhong Xie, Xiaoyong Lei, et al.. (2024). pH regulators and their inhibitors in tumor microenvironment. European Journal of Medicinal Chemistry. 267. 116170–116170. 26 indexed citations
5.
Li, Wenjuan, et al.. (2024). Evolution, classification, structure, and functional diversification of steroid 5α-reductase family in eukaryotes. Heliyon. 10(14). e34322–e34322. 5 indexed citations
6.
Li, Wenjuan, et al.. (2024). An update on evolutionary, structural, and functional studies of receptor-like kinases in plants. Frontiers in Plant Science. 15. 1305599–1305599. 16 indexed citations
7.
Claus, Lucas Alves Neubus, Derui Liu, Ulrich Hohmann, et al.. (2023). BRASSINOSTEROID INSENSITIVE1 internalization can occur independent of ligand binding. PLANT PHYSIOLOGY. 192(1). 65–76. 5 indexed citations
8.
Zheng, Bowen, Chenxi Li, Qiang Wei, et al.. (2022). Pan‐brassinosteroid signaling revealed by functional analysis of NILR1 in land plants. New Phytologist. 235(4). 1455–1469. 13 indexed citations
9.
Li, Wenjuan, Shanshan Wang, Lijie Feng, et al.. (2022). Kinase Function of Brassinosteroid Receptor Specified by Two Allosterically Regulated Subdomains. Frontiers in Plant Science. 12. 802924–802924. 5 indexed citations
10.
Zheng, Qian, Qiang Wei, Guishuang Li, et al.. (2022). A Non-redundant Function of MNS5: A Class I α-1, 2 Mannosidase, in the Regulation of Endoplasmic Reticulum-Associated Degradation of Misfolded Glycoproteins. Frontiers in Plant Science. 13. 873688–873688. 5 indexed citations
11.
Li, Wenjuan, Jiaojiao Zhang, Hui Liu, et al.. (2022). Two Conserved Amino Acids Characterized in the Island Domain Are Essential for the Biological Functions of Brassinolide Receptors. International Journal of Molecular Sciences. 23(19). 11454–11454. 3 indexed citations
12.
Liu, Jing, Meiying Hou, Qiang Wei, et al.. (2020). Brassinosteroids synthesised by CYP85A/A1 but not CYP85A2 function via a BRI1-like receptor but not via BRI1 in Picea abies. Journal of Experimental Botany. 72(5). 1748–1763. 12 indexed citations
13.
Wu, Guang, et al.. (2019). Effect of Macrophomina phaseolina on growth and expression of defense related genes in Arabidopsis thaliana. Journal of the National Science Foundation of Sri Lanka. 47(1). 113–113. 3 indexed citations
14.
Zheng, Bowen, Lei Wu, Huan Liu, et al.. (2019). EMS1 and BRI1 control separate biological processes via extracellular domain diversity and intracellular domain conservation. Nature Communications. 10(1). 4165–4165. 49 indexed citations
15.
Zheng, Bowen, et al.. (2019). Functional study of the brassinosteroid biosynthetic genes from Selagnella moellendorfii in Arabidopsis. PLoS ONE. 14(7). e0220038–e0220038. 9 indexed citations
16.
Kim, Jae-Gyu, Hyung‐Joo Kwon, Guang Wu, et al.. (2016). RhoA GTPase oxidation stimulates cell proliferation via nuclear factor-κB activation. Free Radical Biology and Medicine. 103. 57–68. 24 indexed citations
17.
Zhu, Jiewen, Wen‐Pin Chen, Bryan Ngo, et al.. (2014). Novel small molecules disrupting Hec1/Nek2 interaction ablate tumor progression by triggering Nek2 degradation through a death-trap mechanism. Oncogene. 34(10). 1220–1230. 46 indexed citations
18.
Guo, Lei, et al.. (2006). Establishment of a cell-based drug screening system for identifying selective down-regulators of mPGES-1. Inflammation Research. 55(3). 114–118. 4 indexed citations
19.
Lin, Yi‐Ting, Y Chen, Guang Wu, & Lee Wh. (2006). Hec1 sequentially recruits Zwint-1 and ZW10 to kinetochores for faithful chromosome segregation and spindle checkpoint control. Oncogene. 25(52). 6901–6914. 53 indexed citations
20.
Trotochaud, Amy E., Tong Hao, Guang Wu, Zhenbiao Yang, & Steven E. Clark. (1999). The CLAVATA1 Receptor-like Kinase Requires CLAVATA3 for Its Assembly into a Signaling Complex That Includes KAPP and a Rho-Related Protein. The Plant Cell. 11(3). 393–405. 320 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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